ZaldiFin AI-powered capital allocation dashboard view

Move capital intelligently

ZaldiFin transfers the logic of professional trading strategies to unused liquidity in companies. AI models continuously evaluate market data and your capital automatically follows the selected strategies.

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Illustrative representation

Market surveillanceongoing

Strategy number in comparisonseveral active

Risk assessmentmulti-stage

Example visualization of the platform logic, not a real performance indication.

How it works

How copy trading makes your liquidity work

Instead of leaving capital unused in business accounts, ZaldiFin assigns it to defined AI strategies. Each strategy is based on models that evaluate historical and current market data and derive positioning decisions from it.

You choose the strategy, the system takes over the ongoing implementation. Adjustments to market conditions are automated without you having to manually check individual positions.

01

Strategy selection

You view available AI strategies according to risk profile, investment horizon and historical trading logic.
02

Capital Allocation

You determine what proportion of your liquidity follows the chosen strategy, including defined upper limits.
03

Automated copy trading

Strategy positions are transferred proportionally to your account, without manual intervention.
04

Ongoing monitoring

Risk indicators and position developments can be viewed at any time, adjustments remain possible.

Data basis

Precision in models and risk control

Market surveillance

Ongoing

Strategy selection

Continuously evaluated

Risk assessment

Multi-level

Execution

Automated

What the illustration shows

In the customer area, you compare strategies based on key figures such as volatility, maximum drawdown and position development over time. The presentation is designed for comparability, not for forecast advertising.

Dealing with risk

Each strategy works with fixed position sizes and loss limits. Capital is distributed across multiple strategies to reduce individual risks. You set limits for maximum capital commitment yourself.

Benefits for companies

For liquidity that would otherwise remain unused

Real-time analysis

Market observation without investing your own time

As an entrepreneur, you often don't have the time to observe markets on a daily basis. The ZaldiFin models continuously evaluate price data, volumes and volatility and derive trading signals from them without you having to actively view the data yourself.

Continuous data evaluation
Signal generation without manual research
Overview instead of detailed work

Automated execution

Positions follow strategy, not day-to-day business

After the assignment, the system takes over the implementation. Purchases and sales are made according to the chosen strategy, regardless of whether you have time for your capital that day or are tied up in operational business.

No manual order placement necessary
Implementation follows fixed rules of the strategy
Reduced administrative effort

Liquidity focus

Capital remains accessible

Unlike long-term commitments, you retain control over deposits and withdrawals. Optimizing liquidity here means allowing short-term capital to work without tying it up for months or years.

Flexible capital allocation per strategy
No long-term capital commitment required
Customizable upper and lower limits

Methodology

Traceability instead of promises

ZaldiFin foregoes any blanket return promises. Instead, we disclose how the models work, what data is included and what security standards apply. This transparency is intended to enable you to make an informed decision instead of generating trust through testimonials.

Each strategy is documented: investment horizon, historical trading logic, maximum position sizes and loss limitation limits can be viewed before allocation.

ZaldiFin analysis environment for strategy documentation

Model approach

The strategies are based on statistical and pattern recognition models that are trained on historical market data and continuously checked against current data. Decisions arise from defined rules, not from individual case assessments.

Data sources

Price data, trading volumes and market-wide indicators from established market data providers are used. Historical data series are used for model testing, current data for ongoing signal formation.

Safety standards

Accounts and data transmission are encrypted. Capital is managed separately from the provider's business assets; access rights are limited based on roles.